An Adaptive User Interface for an E-learning System by Accommodating Learning Style and Initial Knowledge
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
There is a conception among researchers that every student has his or her own learning style preferences. One student cannot be treated as same as the other students. A specific strategy is required to provide a learning environment that is suitable for different students’ preferences. In the context of technology-enhanced learning, it is urgently necessary to design an adaptive e-learning system based on multiple learning criteria. This paper presents the design of a user interface for an e-learning system that can adapt to multiple learning styles and initial knowledge levels. To evaluate the design concept, an application has been developed and then tested based upon a functional test approach. As a result, it was found that the elearning system could react as intended, presenting the learning material and navigation components based on both the learning styles and initial knowledge of the students.
Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 1st International Conference on Social Science and Higher Education (ICTVT 2017) |
| Pages | 16-23 |
| Publication status | Published - 2017 |
| Peer-reviewed | Yes |
Publication series
| Series | Advances in Social Science, Education and Humanities Research |
|---|---|
| Volume | 102 |
| ISSN | 2352-5398 |
External IDs
| WOS | 000416099100004 |
|---|